Morphological analysis of textured images for identification of thin structures

The paper addresses the problem of a real time approach for thin structures identification. The proposed method make use of adaptive morphological operators in which the normal textural properties are brought to bear on the filter design in order to enhance the output related to anomalous structures. The authors discuss how the introduction of adaptivity criteria is useful to reduce the sensitivity of morphological filtering to local variations typical of textures and to noise. In addition, theoretical investigations related to the problem of the optimization algorithm are presented and discussed. Experimental results have been carried out both on classical natural textures and on ceramic tile images and prove the efficiency of the proposed approach in many practical applications